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Record W2198410352

[Clnical observation, of the effects of lattice ultra pulse carbon dioxide laser combined with traditional Chinese medicine on the treatment of hyperplastic scar].

2015· article· en· W2198410352 on OpenAlexaboutno aff
Jin Lei, Zhenming Hao, Lifeng Yu

Bibliographic record

VenuePubMed · 2015
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCarbon dioxide laserTraditional Chinese medicineSurgeryAdverse effectLaserInternal medicinePathologyLaser surgery
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore the clinical effects of lattice ultra pulse carbon dioxide laser combined with traditional Chinese medicine ( Fuchunsan ) on the treatment of postburn hyperplastic scar. METHODS: Sixty-three patients with hyperplastic scar after burn injury hospitalized from February 2012 to June 2014 in our department were treated with lattice ultra pulse carbon dioxide laser combined with traditional Chinese medicine (Fuchunsan). Patients were divided into early stage group (E, n = 35), middle stage group (M, n = 25), and late stage group ( L, n = 3) according to the formation time of scar, which was respectively 3 weeks to 3 months, longer than 3 months and less than or equal to 6 months, and 3 to 15 years in groups E, M, and L. The number of times of laser treatment of patients in each group was recorded. The degree of scar pain in patients of the three groups was assessed by the Numerical Rating Scale (NRS) before treatment and after treatment for 1, 2, and 3 times. The scar condition of patients in groups E and M was assessed by the Vancouver Scar Scale (VSS) before treatment and after treatment for 1, 3, and 5 times. Patients in group L did not receive VSS assessment but were evaluated by clinical observation only. Photos of scar in treating area were taken before treatment and after treatment for 3 and 5 times to evaluate the clinical effect. Data were processed with t test. RESULTS: Patients in groups E and M were treated with laser for (4.8 ± 1.1) and (7.7 ± 2.1) times respectively. In group L, the treatment was stopped in 2 patients after laser treatment for 5 times, and 1 patient received laser treatment for 12 times. The degree of pain in patients of groups E and M was alleviated significantly after treatment for one time, and the number of patients scoring 1-4 point(s) in NRS increased from 5 cases to 38 cases. After treatment for 2 and 3 times, the increase in the number of patients scoring 1-4 point (s) in NRS was on a small scale. Before treatment and after treatment for 1 time, VSS scores of patients in groups E and M were similar (with values respectively 0.641 and 0. 082, P values above 0. 05). After treatment for 3 and 5 times, VSS scores of patients in group E were respectively (9.2 ± 0.8) and (7.0 ± 1.1) points, which were significantly lower than those in group M [ (9.7 ± 1.0) and (8.2 ± 1.0) points, with values respectively -1.993 and -4.433 , P < 0.05 or P < 0.01]. After treatment for 3 times, the rate of improvement in appearance was respectively 88.6% (31/35) and 72.0% (18/25) in groups E and M, and it was respectively 100.0% (35/35) and 96.0% (24/25) after treatment for 5 times. No significant effect in appearance was found in the 3 patients in group L. CONCLUSIONS: Early application of lattice ultra pulse carbon dioxide laser combined with traditional Chinese medicine (Fuchunsan) for the treatment of postburn hyperplastic scar is effective.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.265
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2015
Admission routes1
Has abstractyes

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